Textured Mesh Reconstruction.
To reconstruct the 3D surface, common methods include multi-view stereo [1]}, volumetric fusion [2]}, [3]}, [4]}, Poisson surface reconstruction [5]}, [6]}, and neural surface reconstruction [7]}, [8]}. To reconstruct texture for the human body, popular approaches include texture mapping or montage [9]}, deep neural rendering [10]}, deferred neural rendering [11]}, and NeRF-like methods [12]}.
Unfortunately, existing datasets for textured human mesh reconstruction typically provide no sequential data [13]}, [14]}, which is valuable to the reconstruction of animatable avatars [15]}, [16]}. Moreover, many have only a limited number of subjects [17]}, [18]}, [19]}, [20]}, [21]}, [22]}, [23]}, [24]}. In contrast, HuMMan includes diverse subjects with high-resolution body scans and a large amount of dynamic 3D sequences.
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